Udhav Bhosle

@srtmun.ac.in

Vice-Chancellor, Swami Ramanand Teerth Marathwada University, Nanded
Swami Ramanand Teerth Marathwada University Nanded

Udhav Bhosle


               Download Compact PDF  
https://researchid.co/udhavbhosle
33

Scopus Publications

620

Scholar Citations

12

Scholar h-index

15

Scholar i10-index

Scopus Publications

  • Deep learning-driven regional drought assessment: an optimized perspective
    Chandrakant M. Kadam, Udhav V. Bhosle, Raghunath S. Holambe
    Earth Science Informatics, 2024
  • Analysis of Real time Seismic Signal Using Machine Learning
    Sujata Kulkarni, Udhav Bhosle, Vijaykumar T.
    IECON Proceedings Industrial Electronics Conference, 2023
    The development of seismic data acquisition has been driven to keep track of large volume of high sample frequency signal continuously recorded at the seismic station. The signals received at the seismic station show closeness between seismic signals and non-seismic signals. Conventional and Machine learning techniques are widely used to differentiate between seismic and non-seismic signals based on amplitude and further abnormalities in the seismic signals. Authors have prepared a dataset from seed to csv format. The features are detected for frequency, amplitude, and time duration of seismic signal dataset in csv format. These features are stable, strong, and significant. The size of the feature vector has been reduced using dimension reduction technique to improve time and space complexity. Precision, recall and F1 score are used to validate the performance. Performance parameter matrices show good results for all machine learning models; however, the logistic regression and decision tree models meet the best fit model's characteristics. Finally, a presentation using a hybrid dataset (captured by different sensors) demonstrates how this model be employed in a real-time setting while lowering false alarm rates. The experimentation is carried out on seismic signals obtained from individual sensors and sensor networks (SN). A wideband seismic signal from BSVK and CUKG station located near Basavakalyan, Karnataka, and the Central University of Karnataka, makes up the experimental dataset.
  • A Machine Learning Approach to Statistical Analysis and Prediction of Rainfall and Drought in the Marathwada Subregion
    Chandrakant M. Kadam, Shashikant R. Kale, Udhav V. Bhosle, Raghunath S. Holambe
    2023 International Conference on Emerging Smart Computing and Informatics Esci 2023, 2023
    Monitoring, mitigating, and forecasting rainfall has been a concern on a global basis up to now. Numerous natural disasters, such as drought, are directly related to it and are impacted by it. Drought is the most hazardous of all the disasters. Identifying drought is difficult as it has no universal definition. It varies from region to region and climate to climate. There are various contributing factors in the judgment. It can be regional resources like climate, soil type, flora and fauna, precipitation, crop culture, etc. Also, many indicators are available that can define a drought and its type. Scientists have tried to find the most reliable indicator to identify the drought. They have concluded that no best indicator exists. In order to find the best fit, researchers recommend focusing on regional resources. The goal of the study is to make an analysis of the rainfall in the semi-arid region of Marathwada and implement a suitable machine learning approach to enhance the outcome. Over 41 years of regional precipitation data are used for the analysis. The monthly rainfall data is prepared for this study. Time series data is modelled with a machine learning approach.
  • A Comprehensive Assessment of Agricultural Drought
    Chandrakant Madhukar Kadam, Udhav V. Bhosle, Raghunath S. Holambe
    Disaster Advances, 2022
    There are many disasters that are still a threat to the world. Tsunamis, volcanoes, earthquakes and droughts are well-known among the group. In fact, of all the hazards mentioned, drought is quite unpredictable and devastating. It directly affects the community at large. Droughts exist in almost all countries across the globe. Furthermore, its duration and frequency depend on and vary with different parameters. Surprisingly, droughts do not possess any formal, globally accepted definition which adds to its complexity. Meteorological, agricultural, hydrological and socioeconomic droughts are the most common forms of drought discussed in the literature. A mixture of factors including precipitation, temperature and soil moisture, among others, triggers drought. According to the drought survey, researchers have examined drought, looking at the specific application along with geographical constraints, resulting in the formation of several drought indices. Drought indicators play an important role in quantitatively estimating drought intensities by integrating data from one or the other variable. Furthermore, these indices are derived in order to capture most of the characteristics of the specific drought incident. Therefore, it is necessary to strictly review established and emerging drought monitoring methods. In this work, we retrospectively analyzed various methods used to investigate drought, with special attention to agricultural drought.
  • Spatial and temporal analysis of rainfall and drought in the Marathwada region of Maharashtra
    Chandrakant M. Kadam, Udhav V. Bhosle, Raghunath S. Holambe
    International Journal of Water, 2022
    Among natural disasters, drought is perhaps the most precarious. Predicting and monitoring drought is still a challenge. Droughts begin with a deficit in precipitation over a region. The standardised precipitation index (SPI) was chosen. The World Meteorological Organization (WMO) recommends this precipitation-based index. The spatial and temporal features of a drought in the Marathwada region of Maharashtra, India, were studied. A comprehensive characterisation of drought is presented, including attributes such as frequency, duration, and intensity. Drought characteristics were assessed at multiple time scales and analysed across different drought types across a region during the study period. Drought intensities have been observed to range from 39% to 59%. Drought was found to be the most severe and affected the entire region during certain years, including 1992, 1993, 2004, and 2016. This analysis will contribute to a better understanding of the region's drought as a regional phenomenon.
  • Hydrangea-type bismuth molybdate as a room-temperature smoke and humidity sensor
    Sandesh H. Narwade, Pritamkumar V. Shinde, Nanasaheb M. Shinde, Vijaykumar V. Jadhav, Shoyebmohamad F. Shaikh, Rajaram S. Mane, Udhav V. Bhosle
    Sensors and Actuators B Chemical, 2021
  • Video Summarization Based on Optical Flow
    Dipti Jadhav, Udhav Bhosle
    Advances in Intelligent Systems and Computing, 2020
  • Mammogram classification using AdaBoost with RBFSVM and Hybrid KNN–RBFSVM as base estimator by adaptively adjusting γ and C value
    Udhav Bhosle, Jyoti Deshmukh
    International Journal of Information Technology Singapore, 2019
  • Video summarisation based on motion estimation using speeded up robust features
    Dipti Jadhav, Udhav Bhosle
    International Journal of Computational Vision and Robotics, 2019
    Video summarisation (VS) is a technique to extract keyframes from a video based on video contents. It provides user with a brief representation of video contents to semantically understand the video. This paper aims to present video summarisation based on motion between consecutive video frames. The motion between frames is represented by affine and homograph transformation. The video frames are represented by a set of speeded up robust features (SURF). The keyframes are extracted in a sequential manner by successively comparison with the previously declared keyframe based on motion. The validity of the proposed algorithms is demonstrated on videos from Internet, YouTube dataset and Open Video Project. The proposed work is evaluated by comparing it with different classical and state-of-the-art video summarisation methods reported in the literature. The experimental results and performance analysis validates the effectiveness and efficiency of the proposed algorithms.
  • Transform Domain Mammogram Classification Using Optimum Multiresolution Wavelet Decomposition and Optimized Association Rule Mining
    Poonam Sonar, Udhav Bhosle
    Advances in Intelligent Systems and Computing, 2019
  • A study of mammogram classification using AdaBoost with decision tree, KNN, SVM and hybrid SVM-KNN as component classifiers
    Journal of Information Hiding and Multimedia Signal Processing, 2018
  • Analysis of OFDM-MIMO with BPSK modulation and different antenna configurations using alamouti STBC
    Sanjay Deshmukh, Udhav Bhosle
    Lecture Notes in Electrical Engineering, 2018
  • Soft feature based personal recognition
    Sujata Kulkarni, Ranjana Raut, Udhav Bhosle
    Advances in Intelligent Systems and Computing, 2018
  • SURF features based classifiers for mammogram classification
    Jyoti Deshmukh, Udhav Bhosle
    Proceedings of the 2017 International Conference on Wireless Communications Signal Processing and Networking Wispnet 2017, 2017
  • Bit error probability analysis of MIMO multicarrier spread spectrum for different channels and modulations
    Sanjay Deshmukh, Udhav Bhosle
    Proceedings of the 2017 International Conference on Wireless Communications Signal Processing and Networking Wispnet 2017, 2017
  • SURF based video summarization and its optimization
    Dipti Jadhav, Udhav Bhosle
    Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing Iccsp 2017, 2017
  • Mammography classification using modified hybrid SVM-KNN
    Poonam Sonar, Udhav Bhosle, Chandrajit Choudhury
    Proceedings of IEEE International Conference on Signal Processing and Communication Icspc 2017, 2017
  • SIFT with associative classifier for mammogram classification
    Jyoti Deshmukh, Udhav Bhosle
    2016 International Conference on Signal and Information Processing Iconsip 2016, 2017
  • Performance analysis of spread spectrum system over fading channel models
    Sanjay Deshmukh, Udhav Bhosle
    International Conference on Communication and Signal Processing Iccsp 2016, 2016
  • Optimized association rules using objective function for mammography image classification
    Poonam Sonar, Dipti Jadhav, Udhav Bhosle
    International Conference on Communication and Signal Processing Iccsp 2016, 2016
  • Optimized association rules for MRI brain tumor classification
    Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
  • Image Mining Using Association Rule for Medical Image Dataset
    Jyoti Deshmukh, Udhav Bhosle
    Procedia Computer Science, 2016
  • Performance Evaluation of Spread Spectrum System Using Different Modulation Schemes
    Sanjay Deshmukh, Udhav Bhosle
    Procedia Computer Science, 2016
  • Radiometric Correction of Multispectral Images Using Radon Transform
    Priti Tyagi, Udhav Bhosle
    Journal of the Indian Society of Remote Sensing, 2014
  • Relative Radiometric Correction of Multitemporal Satellite Imagery Using Fourier and Wavelet Transform
    Seema Gore Biday, Udhav Bhosle
    Journal of the Indian Society of Remote Sensing, 2012
  • Simulation of multicarrier CDMA system in Rayleigh channel
    Sheetal Patil, U. V. Bhosle
    Communications in Computer and Information Science, 2011
  • Image based atmospheric correction of remotely sensed images
    Priti Tyagi, Udhav Bhosle
    Iccaie 2010 2010 International Conference on Computer Applications and Industrial Electronics, 2010
  • Radiometric correction of multitemporal satellite imagery
    Biday,
    Journal of Computer Science, 2010
  • Relative radiometric correction of cloudy multitemporal satellite imagery
    World Academy of Science Engineering and Technology, 2009
  • Image registration using hierarchical approach - Best choice for image mosaicing
    Proceedings of the 2008 International Conference on Image Processing Computer Vision and Pattern Recognition Ipcv 2008, 2008
  • Comparative study of relative radiometric normalization techniques for resourcesat1 LISS III sensor images
    A. Pethalakshmi, K. Thangavel
    Proceedings International Conference on Computational Intelligence and Multimedia Applications Iccima 2007, 2008
  • Multispectral panoramic mosaicing
    Udhav Bhosle, Sumantra Dutta Roy, Subhasis Chaudhuri
    Pattern Recognition Letters, 2005
  • A fast method for image mosaicing using geometric hashing
    Udhav Bhosle, Subhasis Chaudhuri, Sumantra Dutta Roy
    IETE Journal of Research, 2002

RECENT SCHOLAR PUBLICATIONS

  • Deep learning-driven regional drought assessment: an optimized perspective
    CM Kadam, UV Bhosle, RS Holambe
    Earth science informatics 17 (2), 1523-1537 , 2024
    2024
    Citations: 11
  • Analysis of real time seismic signal using machine learning
    S Kulkarni, U Bhosle
    IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society … , 2023
    2023
    Citations: 2
  • A machine learning approach to statistical analysis and prediction of rainfall and drought in the marathwada subregion
    CM Kadam, SR Kale, UV Bhosle, RS Holambe
    2023 International Conference on Emerging Smart Computing and Informatics … , 2023
    2023
    Citations: 4
  • Analysis of seismic signal and detection of abnormalities
    S Kulkarni, U Bhosle, V Kumar
    Computer Science and Engineering: An International Journal (CSEIJ) 12 (6) , 2022
    2022
    Citations: 3
  • Spatial and temporal analysis of rainfall and drought in the Marathwada region of Maharashtra
    CM Kadam, UV Bhosle, RS Holambe
    International Journal of Water 15 (1), 53-73 , 2022
    2022
    Citations: 2
  • Video summarization based on optical flow
    D Jadhav, U Bhosle
    Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2018 … , 2020
    2020
    Citations: 1
  • Mammogram classification using AdaBoost with RBFSVM and Hybrid KNN–RBFSVM as base estimator by adaptively adjusting γ and C value
    U Bhosle, J Deshmukh
    International Journal of Information Technology 11 (4), 719-726 , 2019
    2019
    Citations: 21
  • Analysis of outage probability for MC-CDMA systems using different spread codes
    S Deshmukh, U Bhosle
    Asian Journal of Electrical Sciences 8 (3), 18-25 , 2019
    2019
    Citations: 1
  • Video summarisation based on motion estimation using speeded up robust features
    D Jadhav, U Bhosle
    International Journal of Computational Vision and Robotics 9 (6), 569-582 , 2019
    2019
    Citations: 5
  • Bramhe, Ankit, 617
    K Agarwal, R Agarwal, A Agrawal, MA Ahad, MNM Ali, AS Almahayreh, ...
    Computational Intelligence in Data Mining, 897 , 2019
    2019
  • Transform Domain Mammogram Classification Using Optimum Multiresolution Wavelet Decomposition and Optimized Association Rule Mining
    P Sonar, U Bhosle
    Computational Intelligence in Data Mining: Proceedings of the International … , 2018
    2018
  • Analysis of OFDM-MIMO with BPSK Modulation and Different Antenna Configurations Using Alamouti STBC
    S Deshmukh, U Bhosle
    Optical and Wireless Technologies: Proceedings of OWT 2017, 1-9 , 2018
    2018
    Citations: 1
  • A Study of Mammogram Classification using AdaBoost with Decision Tree, KNN, SVM and Hybrid SVM-KNN as Component Classifiers.
    J Deshmukh, U Bhosle
    J. Inf. Hiding Multim. Signal Process. 9 (3), 548-557 , 2018
    2018
    Citations: 13
  • Comparative study of different machine learning classifiers for mammograms and brain MRI images
    P Sonar, U Bhosle, C Choudhury
    International Journal of Image Mining 3 (2), 152-174 , 2018
    2018
    Citations: 2
  • Mammography classification using modified hybrid SVM-KNN
    P Sonar, U Bhosle, C Choudhury
    2017 international conference on signal processing and communication (ICSPC … , 2017
    2017
    Citations: 38
  • GLCM based improved mammogram classification using associative classifier
    J Deshmukh, U Bhosle
    Int. J. Image Graph. Signal Process 7, 66-74 , 2017
    2017
    Citations: 6
  • Optimization of association rule mining for mammogram classification
    P Sonar, U Bhosle
    International Journal of Image Processing 11 (3), 67-85 , 2017
    2017
    Citations: 5
  • SURF based video summarization and its optimization
    D Jadhav, U Bhosle
    2017 International Conference on Communication and Signal Processing (ICCSP … , 2017
    2017
    Citations: 8
  • Bit error probability analysis of MIMO multicarrier spread spectrum for different channels and modulations
    S Deshmukh, U Bhosle
    2017 International Conference on Wireless Communications, Signal Processing … , 2017
    2017
  • SURF features based classifiers for mammogram classification
    J Deshmukh, U Bhosle
    2017 International Conference on Wireless Communications, Signal Processing … , 2017
    2017
    Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

  • A survey of image registration
    M Deshmukh, U Bhosle
    International Journal of Image Processing (IJIP) 5 (3), 245 , 2011
    2011
    Citations: 167
  • Atmospheric correction of remotely sensed images in spatial and transform domain
    P Tyagi, U Bhosle
    International Journal of Image Processing 5 (5), 564-579 , 2011
    2011
    Citations: 60
  • A fast method for image mosaicing using geometric hashing
    U Bhosle, S Chaudhuri, S Dutta Roy
    IETE journal of research 48 (3-4), 317-324 , 2002
    2002
    Citations: 41
  • Mammography classification using modified hybrid SVM-KNN
    P Sonar, U Bhosle, C Choudhury
    2017 international conference on signal processing and communication (ICSPC … , 2017
    2017
    Citations: 38
  • Image mining using association rule for medical image dataset
    J Deshmukh, U Bhosle
    Procedia Computer Science 85, 117-124 , 2016
    2016
    Citations: 38
  • Radiometric correction of multitemporal satellite imagery
    S Biday
    Journal of Computer Science , 2010
    2010
    Citations: 35
  • Mammogram classification using AdaBoost with RBFSVM and Hybrid KNN–RBFSVM as base estimator by adaptively adjusting γ and C value
    U Bhosle, J Deshmukh
    International Journal of Information Technology 11 (4), 719-726 , 2019
    2019
    Citations: 21
  • Performance evaluation of spread spectrum system using different modulation schemes
    S Deshmukh, U Bhosle
    Procedia Computer Science 85, 176-182 , 2016
    2016
    Citations: 19
  • Image retrieval using Contourlet transform
    S Borde, DU Bhosle
    International Journal of Computer Applications 34 (5), 37-43 , 2011
    2011
    Citations: 17
  • Multispectral panoramic mosaicing
    U Bhosle, SD Roy, S Chaudhuri
    Pattern recognition letters 26 (4), 471-482 , 2005
    2005
    Citations: 15
  • A Study of Mammogram Classification using AdaBoost with Decision Tree, KNN, SVM and Hybrid SVM-KNN as Component Classifiers.
    J Deshmukh, U Bhosle
    J. Inf. Hiding Multim. Signal Process. 9 (3), 548-557 , 2018
    2018
    Citations: 13
  • Relative radiometric correction of cloudy multitemporal satellite imagery
    S Biday, U Bhosle
    Int J Electr Comput Energ Electron Commun Eng 3 (3), 472-746 , 2009
    2009
    Citations: 12
  • Deep learning-driven regional drought assessment: an optimized perspective
    CM Kadam, UV Bhosle, RS Holambe
    Earth science informatics 17 (2), 1523-1537 , 2024
    2024
    Citations: 11
  • Comparative study of relative radiometric normalization techniques for resourcesat1 LISS III sensor images
    SR Pudale, UV Bhosle
    International Conference on Computational Intelligence and Multimedia … , 2007
    2007
    Citations: 11
  • SURF features based classifiers for mammogram classification
    J Deshmukh, U Bhosle
    2017 International Conference on Wireless Communications, Signal Processing … , 2017
    2017
    Citations: 10
  • SURF based video summarization and its optimization
    D Jadhav, U Bhosle
    2017 International Conference on Communication and Signal Processing (ICCSP … , 2017
    2017
    Citations: 8
  • Relative radiometric correction of multitemporal satellite imagery using Fourier and wavelet transform
    S Gore Biday, U Bhosle
    Journal of the Indian Society of Remote Sensing 40 (2), 201-213 , 2012
    2012
    Citations: 8
  • Radiometric correction of Multispectral Images using Radon transform
    P Tyagi, U Bhosle
    Journal of the Indian Society of Remote Sensing 42 (1), 23-34 , 2014
    2014
    Citations: 7
  • GLCM based improved mammogram classification using associative classifier
    J Deshmukh, U Bhosle
    Int. J. Image Graph. Signal Process 7, 66-74 , 2017
    2017
    Citations: 6
  • Optimized association rules using objective function for mammography image classification
    P Sonar, D Jadhav, U Bhosle
    2016 International Conference on Communication and Signal Processing (ICCSP … , 2016
    2016
    Citations: 6